I have been working as a software engineer for the last 7 years, constantly thriving for excellence and maintainability.
MSc in Electrical and Computer Engineering from the University of Coimbra with 7 years of experience in developing real time image processing and machine learning solutions.
After working one year in IT services in a major Portuguese telecommunications company, I have joined a startup company, Perceive3D, developing real time image processing software for medical devices. I have led the development of one of the key products of the company, the in.sight, a software for acquisition and processing of endoscopic video in real-time, to provide unique image enhancement features for the surgeon. I was involved in all the phases of the software development lifecycle process, including definition of software requirements, architectural design, development and testing.
From 2017 to 2019, I have worked at Vision-Box as a Research Engineer, developing computer vision and machine learning software for border control and identity management systems, including a passenger recognition solution for a new smart camera device that allows for simultaneous short range and long range facial detection, analysis and recognition.
Currently, at YooniK I am leading the technical development of YooniK SaaS platform as well as embedded systems and mobile applications. YooniK is a AI-enabled tech provider for intelligent customer recognition that is creating privacy-first face authentication services that can be used everywhere (IoT devices, mobile, online).
I am passionate about creating technology to make the world a safer place.